[Purpose/Significance] The purpose of this article is to provide theoretical directions and research methods for live-streaming platforms by constructing the information behavior portrait model of the users of the live streaming platform.[Design/Methodology]Taking the users of the live streaming platform as the research object,the model of the user information behavior portrait of the live streaming platform were constructed from the three dimensions:user information use behavior characteristics,information interaction behavior characteristics and user purchase behavior characteristics.To obtain data,questionnaires were being distributed.Factor analysis and K-Means cluster analysis were adopted to analyze users behaviors on live streaming platforms.[Results/Conclusion] The research shows that the group user information behavior of live streaming platform can be divided into interactive user information behavior,consumption user information behavior,fanatical user information behavior and silent user information behavior.

[Purpose/Significance] The development of live streaming commerce has gradually attracted the attention of the industry and scholars.The research about the evaluation of user information interaction effect of live streaming platform is conducive to better promoting the development of live streaming e-commerce.[Design/Methodology]Based on the perspective of information ecology,this paper constructed four first-level indicators and 17 second-level indicators of interactive interface,interactive function,interactive content,and user perception from the four dimensions of information environment,information technology,information and information person.The research applied AHP and Fuzzy analytical method to evaluate five typical live-streaming platforms in China.[Results/Conclusion] The research results show that the user perception is the main indicator for evaluating the user information interaction effect of the live streaming platform,and it has the greatest impact compared with other first-level indicators.The results of the secondary indexes show that user interaction satisfaction and timeliness of interaction functions are the most important concerns of users,and their influence on the information interaction effect far exceeds that of interaction interface aesthetics.The data results show that the platform can quickly improve the information interaction effect by improving the interaction subject and interaction function,and can measure the shortcomings of its own interaction design according to the index system weights,and take targeted improvement measures.The evaluation indexes constructed have good operability and practicality,and can provide theoretical and methodological guidance for the construction of the interactivity of live-streaming with goods platform.

[Purpose/Significance] Based on Flow Experience Theory,this paper provides a new research perspective on the influencing factors of user information interaction behavior in live streaming commerce,and at the practical level,it will help the live steaming platforms to promote the normativity of the streamers and the merchant.[Design/Methodology]On the basis of the TAM model,based on the Flow Experience Theory,this paper constructed a model of influencing factors of user information interaction with live streaming commerce.By putting forward hypotheses and collecting samples through questionnaire survey,empirical research were conducted through structural equation model.[Results/Conclusion] The results show that perceived usefulness,perceived ease of use,and flow experience play an important role in the influencing factors of user information interaction behavior in live streaming commerce.Meanwhile,the user's willingness to interact with information in live broadcast delivery is also an influencing factor of user information interaction behavior in live broadcast delivery,and social factors have no significant influence on the willingness to interact with live broadcast delivery.

[Purpose/Significance] Massive scientific literature affects the efficiency of scientific communication.Semantic publishing technology improves the intelligence level of scientific and technological services and the efficiency of scientific communication by structuring,associating and semantic operation of scientific resources in different phases of scientific communication.[Method/Process] Based on the theories of scientific communication and from the perspective of the whole life cycle of scientific communication,this paper used the semantic organization mode of dynamic events to sort out the typical scenes and core elements of scientific communication activities,and designed a semantic framework model of scientific communication by reusing relevant ontologies and following the relevant principles of ontology construction.On this basis,the validity of the model was verified through the instantiation process.[Result/Conclusion] The semantic framework model constructed in this paper represents the typical scenes and core elements of scientific communication from the dynamic perspective of life cycle,and provides a reference for the whole process of semantic practice of scientific communication.

[Purpose/Significance] Under the development of the interest-based learning community,it is helpful to guide the platform and users to give full play to the positive utility of the interest-based learning community by clarifying the key factors on which the utility performance of the interest-based learning community depends and constructing the evaluation index system of the interest-based learning community.[Method/Process] From the perspective of learning efficacy,this paper constructed 11 secondary indicators of interaction,content and community three-dimensional degree.The analytic hierarchy process and fuzzy comprehensive evaluation method were used to select Douban and Weibo platforms for empirical research on the postgraduate entrance examination group and studyaccount.[Result/Conclusion] The positive and negative effects of the interest-based learning community depend on the superposition effect of multi index factors,the key of which is the content construction;The platform characteristics of the interest-based learning community are closely related to its utility performance;Users should regulate their learning cognition and goals,and the community should standardize the community content and create a learning atmosphere to improve learning efficacy.

[Purpose/Significance] Emotion is one of the common ways to organize and retrieve resources on online music platforms.Exploration and research on emotion classification of song lists and songs using feature fusion can optimize management and utilization of music resources,better meeting the demand of internet users for music culture life.[Method/Process] In this paper,Hevner's music emotion model was introduced to build an emotion lexicon,which was used with names and introduction of song lists to classify emotions of large-grained lists.Multimodal features of lyrics and audios were fused to identify emotions of small-grained songs through pre-trained model's semantic representation and audio signal processing.[Result/Conclusion] Introduction of emotion lexicon effectively improves the accuracy of song list emotion classification,and manual preprocessing can help algorithms learn features better.Lyrics and audios both contain rich emotion information and the multimodal fusion model performs best in emotion recognition of songs.

[Purpose/Significance] Quantitative and visual identification of the diffusion and evolution path of scientific and technological literature topics such as fund projects and papers is of great significance to reveal the implicit correlation between scientific and technological literature topics,assist in the research of scientific and technological information analysis practice such as frontier identification and emerging trend detection.[Method/Process] The visualization method of diffusion evolution path of fund projects and thesis topics was proposed.Firstly,the fund projects and thesis topics were identified based on LDA model,and then the association between fund projects and thesis topics was constructed by cosine similarity algorithm.Finally,the visualization scheme of diffusion evolution path of fund projects and thesis topics was designed based on Web front-end visualization technology to reveal the implicit association relationship between fund projects and thesis topics,to assist in the analysis of the diffusion evolution path of fund projects and thesis topics.[Result/Conclusion] Through the demonstration of the fund projects and papers in the field of nano agriculture in the United States in recent 20 years,the accuracy and feasibility of the method proposed in this paper are verified.

[Purpose/Significance] Patent data contain a large amount of cutting-edge technological information,and the patents owned by a company can be used to measure its technological innovation capacity.[Method/Process] Based on the patent data related to the 5G technology in the Incopat patent database in a comprehensive consideration into the internal and external factors of the value of patents,the technological life cycle of 5G patents both at home and abroad was visualized via Logistic model.A patent value prediction model including patents'technical features,market features,legal features,patentee features,and semantic features was built.Based on the BERT model,the semantic features of the patent title were extracted.Traditional machine learning models (such as random forests,decision trees,XGBoost,etc.) and deep learning models (such as CNN,RNN,etc.) for training and prediction were used.Finally,the importance of different features in the patent value prediction model through the SHAP interpretation method was calculated.[Result/Conclusion] The F1 value of the patent prediction model reached 0.894,which is superior to other baseline models.In the secondary indicators,the number of countries of patent families has the highest importance,followed by the feature of publication authority country and the citations of the patent.

[Purpose/Significance] This paper analyzes the participation behavior of social media platform users in the process of information exchange and exchange using social media platform,and measures the intensity of users'participation behavior for different types of public opinion topics.and then accurately locate the information needs of users,and provide a more accurate prediction of user participation behavior before the outbreak of public opinion events.[Methods/Process]Based on the analysis of the constituent elements of user participation behavior on social media platform,20 experimental users were obtained by snowball sampling.According to the type and number of social media platforms used by selected users,hot events were extracted from all social media platforms used by users,the participation behavior of experimental users was recorded,and the intensity of user participation behavior was analyzed and measured.Based on Fp-Growth algorithm,the intensity of participation behavior of users on social media platform is predicted.[Results/Conclusion] The overall deviation rate can reach less than 20%(inclusive),which has a good predictive effect on the intensity of users'participation behavior,can improve the quality of recommendation service on social media platforms,achieve accurate guidance and targeted guidance before the outbreak of public opinion crisis.

[Purpose/Significance] With the gradual penetration of Internet technology into people's lives,the disclosure of personal information of Internet users has also aroused widespread concern in the society.In recent years,there have been abundant research results on the willingness to disclose personal information of Internet users,but the research conclusions are quite different.The purpose of this study is to explore the relationship between various influencing factors and willingness to disclose and the reasons for the differences among the studies,in order to provide a reference for subsequent empirical research and theoretical guidance for the operation of relevant platforms.[Method/Process] By combing the existing empirical literature,a total of 7 influencing factors were included,and a meta-analysis was carried out on 20243 samples from 57 independent studies.[Result/Conclusion] The study finds that privacy concerns and perceived risk are significantly negatively correlated with disclosure willingness,and perceived control,perceived benefit,trust,subjective norm and personalized service are significantly positively correlated with disclosure willingness;among them,the impact of perceived benefit on disclosure willingness is the strongest,and the correlation between perceived risk and disclosure willingness is the weakest.Platform type has a significant moderating effect between perceived control,perceived risk,perceived benefit,subjective norms,etc.and willingness to disclose,but there is no moderating effect between privacy concerns,trust,and personalized service and willingness to disclose;gender has a significant effect on the relationship between each variable and willingness to disclose the relationship between them played a significant moderating role.

[Purpose/Significance] Explore the influencing factors of short video user information search in Intangible cultural heritage and the interaction between various factors.It is conducive to enhance the vitality of Intangible cultural heritage and enhance the modern communication of Intangible cultural heritage.[Method/Process] Based on stimulus-organic-response theory and communication ecology theory,this study explored the relationship between main effect and intermediary effect by hierarchical regression analysis.And then fsQCA was used to examine the combination effects of short video satisfaction and information search intention.[Results/Conclusion] The results show that the authority figure of the short video platform dimension and the critical mass of the social dimension are the main factors affecting the information search intention of intangible cultural heritage short video users.Meanwhile,the authority figure of the short video platform dimension is an essential factor.Short video satisfaction plays a complete intermediary role between short video content presentation and users information search intention,and plays a partial intermediary role between short video system quality,short video authority figure,critical mass,virtual social distance and users information search intention.The findings provide more accurate insights into the production and dissemination of intangible cultural heritage short video.

[Purpose/Significance] Extracting common knowledge from multi-source heterogeneous data to achieve knowledge-driven medical resource management and allocation for public health emergencies from a service perspective to improve decision-making efficiency.[Methodology/Procedure]Taking the COVID-19 epidemic as an example,this research utilized intelligent means such as word2vec,K-means clustering and online ontology matching to extract medical service related concepts from multi-source data,proposed a medical service architecture in combination with medical scenarios of public health emergencies,realized a reusable knowledge framework for medical resource management and decision making,and built a medical service knowledge base based on this architecture.Finally,SWRL rules were designed with reference to official guidelines to realize service allocation through knowledge inference.[Result/Conclusion] This study proposes a knowledge-driven healthcare resource management and decision-making scheme from a service perspective,supported by multiple sources of data,to support the reuse of the scheme for similar events and achieve rapid medical response.

[Purpose/Significance] In order to solve the problem of intelligence coordination failure between early warning with response in emergency management,the coordination construction of emergency intelligence has been perfected and empowered by data-intelligence to improve the efficiency of emergency management.[Method/Process] A modernized coordination system of emergency intelligence empowered by data-intelligence was built based on the safety intelligence system and the traditional emergency intelligence coordination model.The data collection,information research and judgment,service supply,and machine execution advantages of data-intelligence were fully utilized to solve the emergency intelligence coordination dilemma.[Result/Conclusion] The collection subsystem,analysis subsystem,service subsystem and application subsystem are the main components of emergency intelligence coordination empowered by data-intelligence.The generation mechanism,transmission mechanism,value realization mechanism and supervision mechanism of emergency intelligence coordination are its operating rules.Through the multi-source coordination perception,multi-subject coordination research and judgment,multi-party service supply,and multi-coordinated response empowered by data-intelligence,the transformation is realized from data collaboration,information collaboration,intelligence collaboration to behavioral collaboration.Thus the modernization of emergency management is vigorously promoted.

[Purpose/Significance] Privacy research has been emphasizing the role of situation on personal privacy disclosure and has mostly focused on horizontal privacy,with less exploration of users'willingness to grant third parties access to personal privacy information in vertical privacy,even though this is a common privacy behavior in online.This research can refine privacy management theory and provide a basis for the development and improvement of privacy policies in vertical privacy situations.[Method/Process] This study designed a vertical privacy situational framework with separate questionnaires and experiments to measure the impact of the purpose of third-party collection of personal privacy information (commercial applications,academic applications,and security applications) on users'willingness to consent.[Result/Conclusion] The results show that the difference in consent intention between different purposes of use is not significant in the questionnaire but significant in the field experiment,and the most important factors for users to refuse consent in all purposes are personal privacy protection,user perceived control and collection trust,and there is a privacy paradox between the questionnaire and the field experiment.

[Purpose/Significance] From the perspective of privacy risk control,this paper investigates the privacy protection practices of open government data in Slovenia,in order to provide a reference for the development of policy of open data in China.[Method/Process] Using the research methods of literature review and case analysis,this paper took Slovenia as an example,accessed to the first-handed materials from literature and discussed the experience of open government data privacy risk control in Slovenia,analyzed and summarized the judgment criteria of personal privacy in government open data,privacy impact assessment (PIA) framework,data processing which respond to privacy risk and related posts.[Results/Conclusion] This paper puts forward to formulate a sound legal system for personal privacy,establish a special privacy protection agency for individuals and improve the open government data privacy policy.